Eva U. Graefe-Mody

13 total papers · 627 total citations
12 papers, 549 citations indexed

About

Eva U. Graefe-Mody is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eva U. Graefe-Mody has authored 12 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Oncology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eva U. Graefe-Mody's work include Diabetes Treatment and Management (7 papers), Peptidase Inhibition and Analysis (6 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Eva U. Graefe-Mody is often cited by papers focused on Diabetes Treatment and Management (7 papers), Peptidase Inhibition and Analysis (6 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Eva U. Graefe-Mody collaborates with scholars based in Germany, Austria and Japan. Eva U. Graefe-Mody's co-authors include Klaus A. Dugi, Arne Ring, Dirk Trommeshauser, Tim Heise, Akiko Sarashina, Hans‐Juergen Woerle, Steven J. Padula, Yoshiharu Horie, Naoyuki Hayashi and Atsushi Taniguchi and has published in prestigious journals such as Blood, Clinical Pharmacology & Therapeutics and Journal of Thrombosis and Haemostasis.

In The Last Decade

Eva U. Graefe-Mody

12 papers receiving 505 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eva U. Graefe-Mody	486	260	174	155	138	12	549
Silke Retlich	459 0.9×	189 0.7×	155 0.9×	184 1.2×	96 0.7×	18	563
Tadashi Nagakura	333 0.7×	208 0.8×	152 0.9×	162 1.0×	144 1.0×	16	477
Sudipta Bhattacharya	391 0.8×	123 0.5×	132 0.8×	168 1.1×	31 0.2×	12	469
Daisho Hirota	325 0.7×	77 0.3×	162 0.9×	130 0.8×	52 0.4×	6	519
Miguel Nasser Hissa	445 0.9×	92 0.4×	178 1.0×	203 1.3×	21 0.2×	18	505
Kenny Frazier	311 0.6×	103 0.4×	237 1.4×	172 1.1×	17 0.1×	9	515
Shinji Odori	224 0.5×	69 0.3×	145 0.8×	215 1.4×	40 0.3×	11	565
Rebecca J. Hodge	323 0.7×	103 0.4×	194 1.1×	267 1.7×	41 0.3×	13	558
Kasper Aaboe	482 1.0×	61 0.2×	273 1.6×	181 1.2×	66 0.5×	12	561
Chizuru Watanabe	239 0.5×	126 0.5×	144 0.8×	196 1.3×	21 0.2×	19	593

Countries citing papers authored by Eva U. Graefe-Mody

Since Specialization

Citations

This map shows the geographic impact of Eva U. Graefe-Mody's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eva U. Graefe-Mody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva U. Graefe-Mody more than expected).

Fields of papers citing papers by Eva U. Graefe-Mody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva U. Graefe-Mody. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eva U. Graefe-Mody. The network helps show where Eva U. Graefe-Mody may publish in the future.

Co-authorship network of co-authors of Eva U. Graefe-Mody

This figure shows the co-authorship network connecting the top 25 collaborators of Eva U. Graefe-Mody. A scholar is included among the top collaborators of Eva U. Graefe-Mody based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva U. Graefe-Mody. Eva U. Graefe-Mody is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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